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cluster_optics_xi — scikit-learn 1.8.0 document...
1, 1, 1]) >>> clusters array([[0, 2],...min_samples int > 1 or float between 0 and 1 The same as the min_samples...scikit-learn.org/stable/modules/generated/sklearn.cluster.cluster_optics_xi.html -
MultiTaskLassoCV — scikit-learn 1.8.0 documenta...
since version 1.7: n_alphas was deprecated in 1.7 and will be...since version 1.7: alphas=None was deprecated in 1.7 and will be...scikit-learn.org/stable/modules/generated/sklearn.linear_model.MultiTaskLassoCV.html -
Birch — scikit-learn 1.8.0 documentation
1 ], [ 0.3 , 1 ], [ - 0.3 , 1 ], [ 0 , - 1 ], [ 0.3...predict ( X ) array([0, 0, 0, 1, 1, 1]) For a comparison of the BIRCH...scikit-learn.org/stable/modules/generated/sklearn.cluster.Birch.html -
VotingClassifier — scikit-learn 1.8.0 documenta...
([[ - 1 , - 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2...2 , 1 ], [ 3 , 2 ]]) >>> y = np . array ([ 1 , 1 , 1 , 2 , 2...scikit-learn.org/stable/modules/generated/sklearn.ensemble.VotingClassifier.html -
compute_optics_graph — scikit-learn 1.8.0 docum...
1. , 1. , 4.12]) >>> reachability array([ inf, 3.16, 1.41,...1.41, 4.12, 1. , 5. ]) >>> predecessor array([-1, 0, 1, 5, 3, 2])...scikit-learn.org/stable/modules/generated/sklearn.cluster.compute_optics_graph.html -
indexable — scikit-learn 1.8.0 documentation
[ 1 , 2 , 3 ], np . array ([ 2 , 3...>>> indexable ( * iterables ) [[1, 2, 3], array([2, 3, 4]), None,...scikit-learn.org/stable/modules/generated/sklearn.utils.indexable.html -
SparseCoder — scikit-learn 1.8.0 documentation
1 , 0 ], ... [ - 1 , - 1 , 2 ], ... [ 1 , 1 , 1 ], ......>>> X = np . array ([[ - 1 , - 1 , - 1 ], [ 0 , 0 , 3 ]]) >>> dictionary...scikit-learn.org/stable/modules/generated/sklearn.decomposition.SparseCoder.html -
LogisticRegression — scikit-learn 1.8.0 documen...
scikit-learn 1.1 Release Highlights for scikit-learn 1.1 Release Highlights...since version 1.8: penalty was deprecated in version 1.8 and will...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html -
LabelEncoder — scikit-learn 1.8.0 documentation
classes_ array([1, 2, 6]) >>> le . transform ([ 1 , 1 , 2 , 6 ]) array([0,...array([0, 0, 1, 2]...) >>> le . inverse_transform ([ 0 , 0 , 1 , 2 ])...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelEncoder.html -
BaseEstimator — scikit-learn 1.8.0 documentation
array ([ 1 , 0 , 1 ]) >>> estimator . fit ( X ,...__init__ ( self , * , param = 1 ): ... self . param = param ......scikit-learn.org/stable/modules/generated/sklearn.base.BaseEstimator.html